csv

问题 I need to export some data from mysql to a csv file. But one of the columns have line breaks and I need to export the data to a csv file saving break lines. At this moment I am using the following sql query: select username, description from users into outfile '/tmp/test.csv' FIELDS ESCAPED BY '"' TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n'; But that sql query doesn't save break lines in the csv file. I am not an expert with MySQL, if someone could help me I'd be

问题 I need to export some data from mysql to a csv file. But one of the columns have line breaks and I need to export the data to a csv file saving break lines. At this moment I am using the following sql query: select username, description from users into outfile '/tmp/test.csv' FIELDS ESCAPED BY '"' TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n'; But that sql query doesn't save break lines in the csv file. I am not an expert with MySQL, if someone could help me I'd be

问题 The first few lines of my CSV file look like this (when viewed from Notepad++): Trace,Original Serial Number,New Serial number 0000073800000000097612345678901234567890,0054,0001 When I open this file in excel, I get this: For some reason, excel is truncating the serial numbers and the trace number. I have tried changing the format to Text but that still doesn't work, as excel only sees the value up to the 6: 7.38000000000976E+34 If I change it to Number : 73800000000097600000000000000000000

问题 When using the configuration for automatic separator detection to read csv files ( pd.read_csv(file_path, sep=None) ), pandas tries to infer the delimiter (or separator). Is there a way to retrieve the result of this inference (the value that was finally used for sep )? EDIT I am looking specifically for a method that uses the pandas object that is returned by read_csv . I use version 0.20.2 of pandas. 回答1: I think you can do this without having to import csv : reader = pd.read_csv(file_path,

问题 I am relatively new in the "large data process" in r here, hope to look for some advise about how to deal with 50 GB csv file. The current problem is following: Table is looked like: ID,Address,City,States,... (50 more fields of characteristics of a house) 1,1,1st street,Chicago,IL,... # the first 1 is caused by write.csv, they created an index raw in the file I would like to find all rows that is belonging San Francisco, CA. It supposed to be an easy problem, but the csv is too large. I know

问题 I am relatively new in the "large data process" in r here, hope to look for some advise about how to deal with 50 GB csv file. The current problem is following: Table is looked like: ID,Address,City,States,... (50 more fields of characteristics of a house) 1,1,1st street,Chicago,IL,... # the first 1 is caused by write.csv, they created an index raw in the file I would like to find all rows that is belonging San Francisco, CA. It supposed to be an easy problem, but the csv is too large. I know

问题 I'm trying to find any items in column address (users table) that have a match in Address (address_effect table). I'm testing this on my local system with XAMPP (using MariaDB) user table +------------------+-----------------+------------------+--------------------------+ | ID | firstname | lastname | address | | | | | | +----------------------------------------------------------------------------------+ | 1 | john | doe |james street, idaho, usa | | | | | | +---------------------------------

问题 I'm trying to find any items in column address (users table) that have a match in Address (address_effect table). I'm testing this on my local system with XAMPP (using MariaDB) user table +------------------+-----------------+------------------+--------------------------+ | ID | firstname | lastname | address | | | | | | +----------------------------------------------------------------------------------+ | 1 | john | doe |james street, idaho, usa | | | | | | +---------------------------------

问题 I'm trying to get the data out of a CSV report, located in a specific folder from a shared email and replace the old data from a specific tab in Google Sheets with new ones. I already tried different solutions, but none seems to get me where I want. The code below is the cleanest that I produced but, for some reason, is not doing anything. Steps that I followed: Open email where the folder is located(it is a shared email, managed in Gmail) Search for the folder where is located (label:rpt-its

问题 I'm trying to get the data out of a CSV report, located in a specific folder from a shared email and replace the old data from a specific tab in Google Sheets with new ones. I already tried different solutions, but none seems to get me where I want. The code below is the cleanest that I produced but, for some reason, is not doing anything. Steps that I followed: Open email where the folder is located(it is a shared email, managed in Gmail) Search for the folder where is located (label:rpt-its